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  1. Programs
  3. Accounting with Data Analytics

Accounting with Data Analytics

Arkansas State University

Master's DegreeCIP: 52.1399

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Dates

Since Aug 2003

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Jonesboro, Arkansas

    2105 East, Aggie Road, Jonesboro, Arkansas, 72401

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 15-2051.00

Skills

Critical ThinkingReading ComprehensionActive ListeningComplex Problem SolvingSpeakingJudgment and Decision MakingWritingActive LearningMonitoring

Knowledge

English LanguageMathematicsCustomer and Personal ServiceComputers and ElectronicsEngineering and TechnologyEconomics and AccountingAdministration and Management

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionProblem SensitivityDeductive ReasoningInductive ReasoningNear VisionInformation OrderingMathematical Reasoning

Tasks

  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation o
  • Prepare detailed reports on audit findings.
  • Report to management about asset utilization and audit results, and recommend changes in operations
  • Collect and analyze data to detect deficient controls, duplicated effort, extravagance, fraud, or no

Technology

Business intelligence and data analysis softwareData base user interface and query softwareStorage networking softwareCloud-based management softwareProcedure management softwareTax preparation softwareEnterprise resource planning ERP softwareCompliance softwareFinancial analysis softwareAccounting software

Tools

10-key calculatorsComputer data input scannersDesktop computersLaptop computersLaser facsimile machinesNotebook computersPersonal computersPersonal digital assistants PDAPhotocopying equipmentScannersTablet computers

Work Values

AchievementIndependenceRecognitionRelationshipsSupportWorking Conditions
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: high15-2051.00Data Scientiststitle_inference$112,590 median$194,410 top+33.51%8,250
Match confidence: high13-2011.00Accountants and Auditorstitle_inference$81,680 median$141,420 top+4.61%7,280
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Master's Degree)

  • Enterprise-wide data science strategy and capability roadmap — define and champion, aligning analytical investments with long-term organizational objectives across all business units.
  • Organizational standards for model development, validation, and governance — establish and enforce, setting the technical direction that all data science practitioners follow.
  • Senior data scientists and cross-disciplinary teams — mentor and develop through structured coaching, performance feedback, and deliberate career growth planning.
  • Novel methodological approaches and innovative tool adoption — lead evaluation and institutionalization of, driving competitive differentiation through intellectual curiosity and calculated risk-taking.
  • Executive leadership and board-level stakeholders — advise by synthesizing complex analytical insights into strategic narratives that directly inform high-impact business decisions.
  • Partnerships with engineering, product, and domain leadership — orchestrate to embed data science solutions into core operational and product development workflows at scale.
  • Organizational risk posture for data, privacy, and algorithmic accountability — shape by developing policies and oversight mechanisms grounded in integrity and regulatory compliance.
  • Large-scale system overhauls and data platform modernizations — sponsor and govern, ensuring technical excellence and business continuity throughout multi-year transformation programs.
  • Talent acquisition pipelines and workforce development programs for data science — design and lead, ensuring the organization attracts and retains top-tier analytical professionals.
  • Firm-wide culture of evidence-based decision-making — cultivate by modeling rigorous critical thinking and championing data-driven practices at every level of the organization.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
26%
Placement Rate
21%